Dataset Versions

v9

2024-09-25 3:48am

Generated on Sep 25, 2024

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 69%
24522Images
Valid Set 12%
4119Images
Test Set 20%
6985Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 2
Rotation: Between -7° and +7°
Hue: Between -15° and +15°
Saturation: Between -11% and +11%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.4px
Noise: Up to 1.21% of pixels

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